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An implementation of robust estimation in Cox model. Functionality includes fitting efficiently and robustly Cox proportional hazards regression model in its basic form, where explanatory variables are time independent with one event per subject. Method is based on a smooth modification of the partial likelihood.
Version: | 1.0.1 |
Depends: | R (≥ 2.0.0) |
Imports: | survival |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat (≥ 3.0.0), knitr |
Published: | 2022-04-06 |
DOI: | 10.32614/CRAN.package.coxrobust |
Author: | Tadeusz Bednarski [aut],
Filip Borowicz [aut],
Shana Scogin |
Maintainer: | Shana Scogin <shanarscogin at gmail.com> |
BugReports: | https://github.com/ShanaScogin/coxrobust/issues |
License: | GPL-3 |
URL: | https://github.com/ShanaScogin/coxrobust |
NeedsCompilation: | yes |
Materials: | NEWS |
In views: | Robust, Survival |
CRAN checks: | coxrobust results |
Reference manual: | coxrobust.pdf |
Package source: | coxrobust_1.0.1.tar.gz |
Windows binaries: | r-devel: coxrobust_1.0.1.zip, r-release: coxrobust_1.0.1.zip, r-oldrel: coxrobust_1.0.1.zip |
macOS binaries: | r-release (arm64): coxrobust_1.0.1.tgz, r-oldrel (arm64): coxrobust_1.0.1.tgz, r-release (x86_64): coxrobust_1.0.1.tgz, r-oldrel (x86_64): coxrobust_1.0.1.tgz |
Old sources: | coxrobust archive |
Reverse imports: | modeLLtest |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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